Evidence map›Paper›PMID 40821642›Full record

ArticleJournal of medical biochemistry2025

Early detection of digestive system cancers: Insights from enzymatic and non-enzymatic tumour markers.

Thualfeqar Almohanna, Furqan Moein Auda, Basim M Ali

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Thualfeqar AlmohannaUniversity of Kufa, Faculty of Medicine, Biochemistry Department, Iraq.
Furqan Moein AudaUniversity of Kufa, Faculty of Science, Department of Chemistry, Iraq.
Basim M AliUniversity of Kufa, Faculty of Science, Department of Chemistry, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digestive system cancer is a silent yet dangerous disease and represents a major cause of death worldwide. Among these cancers, colon cancer is the second leading cause of cancer-related deaths globally. This study aimed to detect malignant cells early by analyzing biochemical indicators associated with the transformation of digestive cancer cells. Tumour markers, primarily proteins associated with malignant cells, may play a role in preventing the spread and progression of the disease. Methods: In this study, the tumour markers analyzed included carcinoembryonic antigen (CEA), a-enolase (ENO1), a-fetoprotein (AFP), and calprotectin (CP) to detect digestive system cancer. These markers were measured in serum samples from sixty patients with digestive system cancer (the patient group) and sixty healthy individuals (the control group). Results: The results revealed highly significant changes (p-value <0.00001) in the levels of CEA (56.698±44.558 ng/mL), ENO1 (51.784±10.395 ng/mL), AFP (116.275±38.956 ng/mL), and CP (287.425±33.181 ng/mL) in the cancerous group compared to the control group, suggesting their potential utility in early diagnosis. Furthermore, significant differences (p-value <0.05) in liver enzymes and body mass index (BMI) provided additional evidence of pathological changes. Conclusions: The biomarkers investigated in this study demonstrate promising potential for early diagnosis while contributing to a deeper understanding of the biological mechanisms underlying digestive system cancers.

Indexed as

a-enolasea-fetoproteincalprotectincarcinoembryonic antigencolon cancerdigestive system cancerrectum cancerstomach cancer

Identifiers

PMID40821642
PMCPMC12357626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.